Performance evaluation of rail transportation systems by considering resilience engineering factors: Tehran railway electrification system

Abstract Rail transportation systems often encounter risks, such as failure and downtime. Resilience engineering (RE) enables hazard-prone systems to remain stable in the face of sudden changes or to minimize the effects of changes in such systems. In other words, RE keeps the system stable in the face of any potential disturbances. This study uses a new framework, i.e. the combination of four key variables, namely health, safety, ergonomics, and resilience engineering to assess the performance of a railway transportation system. To this end, a questionnaire was first designed based on the stated concepts for data collection and performance evaluation of Tehran–Karaj railway electrification system. Then, data envelopment analysis (DEA) approach was used to evaluate the decision-making units (DMUs) of the railway system. The results indicated that there was a significant growth in the number of efficient DMUs (67%) and a relative growth in the mean value of total efficiency (3.6%) by considering RE concept. In other words, RE plays a significant role in the promotion of system performance. The results also showed that teamwork had the highest impact on the railway system performance among the RE-associated factors. The Spearman test was performed to validate the results of this study. It is one of the first studies that evaluate a railway transportation system by considering resilience engineering and other concepts, such as health, safety, and ergonomics using DEA approach.

[1]  P. Branton.  Behaviour, body mechanics and discomfort. , 1969, Ergonomics.

[2]  Taptuk Emre Erkoc,et al.  Estimation Methodology of Economic Efficiency: Stochastic Frontier Analysis vs Data Envelopment Analysis , 2012 .

[3]  Dounia TAZI,et al.  Resilience of maintenance organization in a refining plant , 2006 .

[4]  Sidney Dekker,et al.  Resilience Engineering: Chronicling the Emergence of Confused Consensus , 2017 .

[5]  Helena Rådbo,et al.  Suicides and other fatalities from train-person collisions on Swedish railroads: a descriptive epidemiologic analysis as a basis for systems-oriented prevention. , 2005, Journal of safety research.

[6]  Ali Azadeh,et al.  An intelligent decision support system for forecasting and optimization of complex personnel attributes in a large bank , 2012, Expert Syst. Appl..

[7]  Timothy Coelli,et al.  An Introduction to Efficiency and Productivity Analysis , 1997 .

[8]  B. Föger.  The FIELD study , 2006, The Lancet.

[9]  M. Rekar,et al.  Chemins de fer slovènes : Gestion de la qualité , 1996 .

[10]  M. Sam Mannan,et al.  Resilience engineering of industrial processes: Principles and contributing factors , 2012 .

[11]  D.D. Woods,et al.  Analyzing Resilience of an Oil Distribution Plant , 2006, 2006 IEEE Systems and Information Engineering Design Symposium.

[12]  Marjan Rekar,et al.  QUALITY MANAGEMENT AT SLOVENIAN RAILWAYS. , 1996 .

[13]  L. Eboli,et al.  Service Quality Attributes Affecting Customer Satisfaction for Bus Transit , 2007 .

[14]  C. Nemeth.  Resilience Engineering Perspectives, Volume 1: Remaining Sensitive to the Possibility of Failure , 2008 .

[15]  Andrew S McIntosh,et al.  Understanding the human factors contribution to railway accidents and incidents in Australia. , 2008, Accident; analysis and prevention.

[16]  P Vink,et al.  Editorial: comfort and discomfort studies demonstrate the need for a new model. , 2012, Applied ergonomics.

[17]  Hepu Deng,et al.  Multicriteria analysis with fuzzy pairwise comparison , 1999, FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315).

[18]  Jenq-Renn Chen,et al.  A predictive risk index for safety performance in process industries , 2004 .

[19]  Jan Zabojnik,et al.  Centralized and Decentralized Decision Making in Organizations , 2000, Journal of Labor Economics.

[20]  Ali Azadeh,et al.  Performance evaluation of integrated resilience engineering factors by data envelopment analysis: The case of a petrochemical plant , 2014 .

[21]  P. Kotler.  Marketing Management: Analysis, Planning, Implementation and Control , 1972 .

[22]  Christopher Nemeth,et al.  Remaining sensitive to the possibility of failure , 2008 .

[23]  A. U.S.,et al.  Measuring the efficiency of decision making units , 2003 .

[24]  Ali Azadeh,et al.  Design and implementation of a fuzzy expert system for performance assessment of an integrated health, safety, environment (HSE) and ergonomics system: The case of a gas refinery , 2008, Inf. Sci..

[25]  Raphael N. Markellos,et al.  Evaluating public transport efficiency with neural network models , 1997 .

[26]  D J Oborne,et al.  Passenger comfort--an overview. , 1978, Applied ergonomics.

[27]  H. O. Fried,et al.  Accounting for Environmental Effects and Statistical Noise in Data Envelopment Analysis , 2002 .

[28]  Lawrence W. Lan,et al.  Assessing the On-road Route Efficiency for an Air-Express Courier , 2010 .

[29]  Dan M. Frangopol,et al.  Effects of Damage and Redundancy on Structural Reliability , 1987 .

[30]  Ali Azadeh,et al.  Modeling and optimizing efficiency gap between managers and operators in integrated resilient systems: The case of a petrochemical plant , 2014 .

[31]  Stefanie Huber,et al.  Learning from organizational incidents: Resilience engineering for high‐risk process environments , 2009 .

[32]  Wan Chul Yoon,et al.  An accident causation model for the railway industry: Application of the model to 80 rail accident investigation reports from the UK , 2013 .

[33]  Bing Xu,et al.  Analysis of Fishery Production Efficiency based on the Three-Stage DEA , 2013, J. Networks.

[34]  Evelyn Blumenberg,et al.  Moving in and moving around: immigrants, travel behavior, and implications for transport policy , 2009 .

[35]  Ming‐Miin Yu,et al.  Measuring production and consumption efficiencies using the slack-based measure network data envelopment analysis approach: the case of low-cost carriers , 2014 .

[36]  Andrew Kusiak,et al.  Data mining in engineering design: a case study , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

[37]  Giulio Maternini,et al.  A comfort scale for standing bus passengers in relation to certain road characteristics , 2014 .

[38]  Martin Trépanier,et al.  Organizational safety practices of hazardous materials carriers , 2011 .

[39]  Martin G. Helander,et al.  A field study of productivity improvements in the manufacturing of circuit boards , 1991 .

[40]  John Wreathall,et al.  Properties of Resilient Organizations: An Initial View , 2006 .

[41]  Ali Azadeh,et al.  A deterministic approach for performance assessment and optimization of power distribution units in Iran , 2009 .

[42]  P. Andersen,et al.  A procedure for ranking efficient units in data envelopment analysis , 1993 .

[43]  Thomas Albrecht,et al.  The Influence of Anticipating Train Driving on the Dispatching Process in Railway Conflict Situations , 2009 .

[44]  Erik Hollnagel,et al.  Prologue: Resilience Engineering Concepts , 2006 .

[45]  Jillian Anable,et al.  Performance, importance and user disgruntlement: a six-step method for measuring satisfaction with travel modes. , 2007 .